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Fundamental Theories of Physics

Maximum Entropy and Bayesian Methods

Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods

Editors: Skilling, John, Sibisi, Sibusio (Eds.)

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About this book

This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice.

Table of contents (33 chapters)

Table of contents (33 chapters)
  • Flow and Diffusion Images from Bayesian Spectral Analysis of Motion-Encoded NMR Data

    Pages 1-12

    Fordham, E. J. (et al.)

  • Bayesian Estimation of MR Images from Incomplete Raw Data

    Pages 13-22

    Marseille, G. J. (et al.)

  • Quantified Maximum Entropy and Biological EPR Spectra

    Pages 23-30

    Glidewell, S. M. (et al.)

  • The Vital Importance of Prior Information for the Decomposition of Ion Scattering Spectroscopy Data

    Pages 31-40

    Fischer, R. (et al.)

  • Bayesian Consideration of the Tomography Problem

    Pages 41-49

    Linden, W. (et al.)

Buy this book

eBook $169.00
price for USA in USD
  • ISBN 978-94-009-0107-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA in USD
  • ISBN 978-0-7923-3452-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $219.99
price for USA in USD
  • ISBN 978-94-010-6534-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Maximum Entropy and Bayesian Methods
Book Subtitle
Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods
Editors
  • John Skilling
  • Sibusio Sibisi
Series Title
Fundamental Theories of Physics
Series Volume
70
Copyright
1996
Publisher
Springer Netherlands
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-94-009-0107-0
DOI
10.1007/978-94-009-0107-0
Hardcover ISBN
978-0-7923-3452-1
Softcover ISBN
978-94-010-6534-4
Series ISSN
0168-1222
Edition Number
1
Number of Pages
XI, 323
Topics

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